Experienced Data Engineer
Role details
Job location
Tech stack
Job description
As a Data Engineering, you will will design, build, and operate the data pipelines that ingest, transform, catalog, and serve EMBERPOINT data platform and its AI/ML, Unified HMI, and command-and-control (C2) applications. This role works closely with the AWS Infrastructure Architect, AI/ML Engineers, Software Factory, MBSE team (Cameo DOORS NEXT), and the Advisory Board to ensure data quality, security, and performance across the end-to-end mission workflow (Detection Prediction Response Recovery).
These databases will integrate with streaming ingestion pipelines and data lake services to enable real-time analytics, operational applications, and predictive wildfire intelligence.
You will work closely with data engineering, platform engineering, and application development teams to ensure the platform delivers high availability, strong performance, and secure data management.
WHO WE ARE
Our team is building the cloud and data infrastructure that powers next-generation wildfire detection and response technologies. We work at the intersection of cloud engineering, large-scale data platforms, and mission-driven technology designed to protect communities and critical infrastructure.
We value engineers who combine strong operational expertise with a systems perspective and who enjoy building reliable, scalable data services.
WHO YOU ARE A self-starter Experienced Data Engineer An engineer committed to delivering high quality, cutting edge technology to be used by our customers and allies across the country and world Are comfortable working across teams to ensure data remains secure, performant, and aligned with evolving platform architecture. You enjoy solving complex data infrastructure challenges and enabling analytics and applications to operate at scale., Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.
Requirements
3 + years professional data-engineering experience; SQL and Oracle experience 1 years designing and operating AWS-native data lakes for mission-critical or high-volume workloads. B.S. Computer Science, Data Science, Information Systems, or related field (M.S. preferred). AWS knowledge Proven experience in SAFe/Agile environments, working with cross-functional teams (AI/ML, UX, Systems Engineering).
Desired skills
Deep knowledge of S3, Glue, Lake Formation, Kinesis, MSK, Redshift, Athena, QuickSight, Lambda, Step Functions, IAM, KMS Hands-on with AWS Glue, Spark, DBT, Airflow (or Managed Workflows for Apache Airflow).. Proficient in Python (PySpark, Boto3), Scala, SQL, and Shell/Bash. Experience integrating MBSE data from Cameo DOORS NEXT into data-lake pipelines. Knowledge of AI/ML data pipelines (SageMaker Feature Store, model-artifact versioning). Experience with data ingestion, Object Storage and data paths, ingest orchestration, ETL, relational and non-relational database with autonomousDB
Benefits & conditions
At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work.
With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility., Pay Rate: The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $93,200 - $164,450. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year. This position is incentive plan eligible., Pay Rate: The annual base salary range for this position in most major metropolitan areas in California, Massachusetts, and New York is $107,300 - $185,840. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.